Voice Agents at Scale - EP 53 - Laurent Cohen - Getoblic

In this episode, Philippe Trounev interviews Laurent Cohen from Getoblic, who discusses the deployment of 1.6 million voice AI agents. Laurent explains the transition from a SaaS model to an infrastructure layer, emphasizing the importance of data gathering and SEO strategies. He shares insights on unit economics, cost efficiency, and the monetization strategies for their voice AI services. The conversation also covers the workflow of AI agents, team structure, early success metrics, and competitive advantages in the voice AI market.takeawaysThe deployment of 1.6 million voice AI agents is a significant achievement.Shifting from a SaaS model to an infrastructure layer is crucial for scalability.Unit economics and cost efficiency are vital for sustainable growth.SEO should be handled in-house as it is the DNA of a company.Gathering data is essential for training AI agents effectively.Monetization strategies include offering free claims for businesses to engage with the platform.AI agents work in a structured workflow to handle customer inquiries.A small team can achieve significant results with the right automation.Early success metrics include claimed pages and minutes spent with voice agents.Building competitive moats involves leveraging unique data and insights.Sound Bites"We need to scale data.""Money is the enemy.""Let's help each other."Chapters00:00Introduction to Voice AI at Scale02:54The Shift from SaaS to Infrastructure Layer05:24Unit Economics and Cost Efficiency08:13SEO Strategies and Data Gathering11:07Monetization Strategies for Voice AI14:11Workflow of AI Agents16:50Team Structure and Automation19:40Early Success Metrics and Conversion22:19Building Competitive Moats25:07The Future of Voice AI and Marketing StrategiesJoin us on Discord https://discord.gg/pAUGNTzv